Comparison
awesome-evals vs just-eval
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Markdown twin · awesome-evals alternatives · just-eval alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | awesome-evals | just-eval |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (953d since push) As of Sep 9, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 9, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- just-eval
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
Stars
- awesome-evals
- 900
- just-eval
- 90
Forks
- awesome-evals
- 104
- just-eval
- 7
Open issues
- awesome-evals
- 34
- just-eval
- 2
Language
- awesome-evals
- -
- just-eval
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- just-eval
- just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Persona
- awesome-evals
- -
- just-eval
- -
Runtime
- awesome-evals
- -
- just-eval
- -
License
- awesome-evals
- Other
- just-eval
- MIT
Last pushed
- awesome-evals
- Sep 15, 2026
- just-eval
- Jan 29, 2024
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- just-eval
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Very active (96%)
- just-eval
- Dormant (18%)
Days since push
- awesome-evals
- 4d
- just-eval
- 953d
Open issues (now)
- awesome-evals
- 34
- just-eval
- 2
Stars delta
- awesome-evals
- +139 (30d)
- just-eval
- 0 (30d)
Open issues delta
- awesome-evals
- +13 (30d)
- just-eval
- 0 (30d)
Full report
- awesome-evals
- Trust report
- just-eval
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, just-eval is MIT.
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose just-eval if…
- License: just-eval is MIT, awesome-evals is Other.
- Tags unique to just-eval: evaluation, gpt4, llm, llm-eval.
- When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
When NOT to use just-eval
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration.
- Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- Last push (benchflow-ai/awesome-evals) · observed Sep 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Re-Align/just-eval) · observed Sep 20, 2026
- GitHub forks (Re-Align/just-eval) · observed Sep 20, 2026
- Last push (Re-Align/just-eval) · observed Jan 29, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-evals 900 · just-eval 90 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-evals and just-eval?
- awesome-evals: A curated library of resources for building and evaluating AI agents. just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over just-eval?
- Choose awesome-evals over just-eval when License: awesome-evals is Other, just-eval is MIT; Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose just-eval over awesome-evals?
- Choose just-eval over awesome-evals when License: just-eval is MIT, awesome-evals is Other; Tags unique to just-eval: evaluation, gpt4, llm, llm-eval; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
- When should I avoid awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- When should I avoid just-eval?
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
- Is awesome-evals or just-eval more popular on GitHub?
- awesome-evals has more GitHub stars (900 vs 90). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and just-eval open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, just-eval: MIT).
- Where can I find alternatives to awesome-evals or just-eval?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and just-eval alternatives (awesome-evals markdown twin, just-eval markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-evals or just-eval?
- awesome-evals: Very active. just-eval: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome-evals and just-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; just-eval trust report.